How Harris-Trump presidential debate impacted election betting odds
- Bias Rating
50% Medium Conservative
- Reliability
55% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-16% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
33% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
68% : Harris is the -120 favorite at BetOnline over Trump, who is now the +100 underdog.50% : At the current odds at BetOnline, a bettor would win $100 on a $100 wager on Trump to win the election.
46% : Trump has a 47.6 percent chance, or +102.
40% : The offshore sportsbook, which isn't regulated in the U.S., tweeted (@BetOnline_ag) minutes before the debate that 50.9 percent of the money wagered on the election was on Harris and 49.1 percent was on Trump.
30% : Harris emerged from the debate as a slight favorite over Trump.
27% : After reporting that the book took an $11,000 bet on Harris -110, he later posted that a "$10,113 bomb comes in on Trump at even money (+100).
12% : Trump entered the debate as a slight favorite over Harris to be elected president.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.